Training Basket, Best Hadoop Training Institute in Noida sector 62

Training Basket is the Best IT Training Center in the List of IT Training Institute in Delhi-NCR.

It provides Project Based Red Hat Training in Delhi-NCR with Full Lab Facilities.

Training Basket is offering Industrial Training on following Red Hat Topics – Red Hat RHCE Certification, Red Hat RHCSA Certification, Red Hat Enterprise Virtualization (RHCVA), Open Stack Administration, Ansible, BASH Shell Scripting, Red Hat Server Hardening, RHCSA Rapid Track and Devops.

For More Detail Contact us: +91 9015-887-887Website: https://trainingbasket.in/linux-rhcsa/

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Data volumes going larger day by day with the evolution of social media, considering this technology is really very important.

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Hadoop training is managed during Week Days Classes from 9:00 AM to 6:00 PM, Weekend Classes at the same time.

We have placed many candidates to big MNCs till now.

Big data Hadoop has been the dynamic force behind the enlargement of big data production.

Learning Objectives – In this module, you will understand what is Big Data, What are the limitations of the existing solutions for Big Data problem, How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, Hadoop Architecture, HDFS and Map Reduce Framework, and Anatomy of File Write and Read.

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hadoop online trainingPig Running Modes, Pig components, Pig Execution, Pig Latin Program, Data Models in Pig, Pig Data Types, Shell and Utility Commands, Pig Latin : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators, Specialized joins in Pig, Built-In Functions ( Eval Function, Load and Store Functions, Math function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution ), Pig Streaming, Testing Pig scripts with Punit, Aviation use case in PIG, Pig Demo on Healthcare Data set.

Learning Objectives: This module will help you in understanding Hive concepts, Hive Data types, Loading and Querying Data in Hive, running hive scripts and Hive UDF.

Topics : Hive Background, Hive Use Case, About Hive, Hive Vs Pig, Hive Architecture and Components, Metastore in Hive, Limitations of Hive, Comparison with Traditional Database, Hive Data Types and Data Models, Partitions and Buckets, Hive Tables(Managed Tables and External Tables), Importing Data, Querying Data, Managing Outputs, Hive Script, Hive UDF, Retail use case in Hive, Hive Demo on Healthcare Data set.

Learning Objectives: In this module, you will understand Advanced Hive concepts such as UDF, Dynamic Partitioning, Hive indexes and views, optimizations in the hive.

You will also acquire in-depth knowledge of HBase, HBase Architecture, running modes and its components.

Topics : Hive QL: Joining Tables, Dynamic Partitioning, Custom Map/Reduce Scripts, Hive Indexes and views Hive query optimizers, Hive : Thrift Server, User Defined Functions, HBase: Introduction to NoSQL Databases and HBase, HBase v/s RDBMS, HBase Components, HBase Architecture, Run Modes & Configuration, HBase Cluster Deployment.